Home>Results

  • Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

[会议论文]

Resource allocation strategy based on rf energy harvesting in heterogeneous networks

Share
Edit Delete 报错

author:

Gao, Jincheng (Gao, Jincheng.) [1] | Zhao, Yisheng (Zhao, Yisheng.) [2] (Scholars:赵宜升) | Chen, Mengjia (Chen, Mengjia.) [3] | Unfold

Indexed by:

EI Scopus

Abstract:

Aiming at excessive users existing in a pico base station (PBS) of heterogeneous networks, the resource allocation problem of maximizing the total uplink throughput is investigated in this paper. By deploying a relay node with energy harvesting, some users of the PBS are transferred to the adjacent idle PBS. The resource allocation problem is formulated as an optimization problem. The objective is to maximize the total uplink throughput of users in the PBS under the constraints of the user's minimum data rate, the energy consumption, and transmission power of the relay node. The optimal solution is obtained by using the augmented Lagrange multiplier method. Simulation results show that the proposed method has higher throughput compared with the conventional method (i.e., some PBS users are transferred to the macro base station). Moreover, compared with the equal power method, the proposed method has an increase in terms of throughput to a certain degree. © 2019 IEEE.

Keyword:

Base stations Energy harvesting Energy utilization Heterogeneous networks Lagrange multipliers Resource allocation Springs (components)

Community:

  • [ 1 ] [Gao, Jincheng]College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 2 ] [Zhao, Yisheng]College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 3 ] [Chen, Mengjia]College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 4 ] [Chen, Zhonghui]College of Physics and Information Engineering, Fuzhou University, Fuzhou, China

Reprint 's Address:

Show more details

Related Article:

Source :

ISSN: 1550-2252

Year: 2019

Volume: 2019-April

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

30 Days PV: 0

查看更多>>操作日志

管理员  2024-08-16 09:40:26  更新被引

管理员  2024-07-15 06:35:28  更新被引

管理员  2024-06-22 02:54:29  更新被引

林慧恩  2024-05-07 11:01:18  数据初审

Online/Total:41/10090803
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1